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國立陽明交通大學神經科學研究所

從分子到認知

分類清單

吳仕煒 教授

吳仕煒  教授(專任)

swwu@ym.edu.tw

Tel:+886-2-2826-7144

Ph.D., 2008, Experimental psychology, New York University
 
Postdoctoral fellow,
2008-2010, Division of Humanities and Social Sciences, California Institute of Technology
 
實驗室網頁:neuroecon.ym.edu.tw   Shih Wei Wu CV
 
研究簡介
我的領域是神經經濟學。我們透過心理學、經濟學和神經科學的理論和方法研究人類決策和判斷的特性和機制。
 
近期重要發現
情境效應
人是情境的動物,我們大多數的行為都會受情境影響。在不確定的環境中,我們必須估算各種可能性發生的機率。因此,「機率評估」是極為重要的認知功能。在Lin et al. (2020, PLOS Biology) 論文中,我們發現情境會有系統的影響機率評估的正確性:人會因情境而高估或低估不確定事件發生的機率。透過數理模型,我們進一步歸納出變異性(variability)和比較(comparison)是造成估計偏差的主要原因。透過功能性磁振造影和機器學習,我們發現大腦機率預估的神經網路在大腦的內側前額葉(medial prefrontal cortex)、背側前扣帶迴(dorsal anterior cingulate cortex)和頂內溝(intraparietal sulcus)。最有趣的是這些腦區的多體素活動特徵(multivoxel activity pattern)可準確預測機率估計的個別差異,為機率評估的神經計算機制找到重要依據。
 
大腦的訊息磅秤系統
訊息是有重量的嗎?我們為什麼要替訊息秤重?有些訊息我們不大重視,有些訊息我們很重視,這就是訊息在主觀重量。主觀重量進一步影響我們許多的判斷和決策。但大腦的訊息磅秤系統在哪裡?反應特性為何?受什麼因素調控?我們在Yang & Wu (2020, PNAS) 有三項主要發現:(1) 訊息磅秤系統在內側前額葉和眼窩額葉,其活動反映人給予不同訊息的主觀權重;(2) 主觀權重會受到訊息變異程度(information variability)的影響,訊息的變異度愈大,其主觀權重愈小;(3) 大腦主要是透過磅秤和估算訊息變異度的兩個神經系統的溝通,計算出訊息重量。
 
論文
Yang, Y-Y., Wu, S-W* (2020). Base rate neglect and neural computations for subjective weight in decision under uncertainty. Proceedings of the National Academy of Sciences of the United States of America, 117(29): 16908-16919.
Lin, W-H., Gardner, J.L., Wu, S-W.* (2020). Context effects on probability estimation. PLOS Biology, 18(3): e3000634.
Farashahi, S., Ting, C-C., Kao, C-H., Wu, S-W.*, Soltani, A. (2018). Dynamic combination of sensory and reward information under time pressure. PLOS Computational Biology, 14(3): e1006070.
Wu, S-W., Glimcher, P.W. (2018). The emerging standard neurobiological model of decision making: Strengths, weaknesses, and future directions. Handbook on Computational Economics and Finance. Oxford University Press.
Wu, S-W., Delgado, M.R., Maloney, L.T. (2015). Gambling on visual performance: Neural correlates of metacognitive choice between visual lotteries. Frontiers in Neuroscience, 9:314.
doi: 10.3389/fnins.2015.00314. 
Yu, J., Tseng, P., Hung, D.L., Wu, S-W., Juan, C-H. (2015). Brain stimulation improves cognitive control by modulating medial-frontal activity and preSMA-vmPFC functional connectivity. Human Brain Mapping. doi: 10.1002/hbm.22893.
Ting, C-C., Yu, C-C., Maloney, L.T., Wu, S-W. (2015). Neural mechanisms for integrating prior knowledge and likelihood in value-based probabilistic inference. Journal of Neuroscience, 35:1792-1805.
Wu, S-W., Delgado, M.R., & Maloney, L.T. (2015). Motor decision-making. In Brain Mapping: An Encyclopedic Reference, vol.3, pp .417-427 Elsevier.
Wu, S-W., Delgado, M. R. and Maloney, L. T. (2011). The neural correlates of subjective utility of monetary outcome and probability weight in economic and in motor decision under risk. Journal of Neuroscience,31(24),8822-8831.
Zhang, H., Wu, S-W., & Maloney, L. T. (2010). Planning multiple movements within a fixed time limit: The cost of constrained time allocation in a visuo-motor task. Journal of Vision, 10(6), 1-17.
Wu, S-W., Dal Martello, M. F. & Maloney, L. T. (2009b). Suboptimal allocation of time in sequential movements. PLoS ONE 4(12): e8228. doi:10.1371/journal.pone.0008228.
Wu, S-W., Delgado, M. R. & Maloney, L. T. (2009a). Economic decision-making compared with an equivalent motor task. Proceedings of the National Academy of Sciences USA, 106(15): 6088-93.
Dean, M., Wu, S-W., & Maloney, L. T. (2007). Trading off speed and accuracy in rapid, goal-directed movements. Journal of Vision, 7(5):10, 1-12.
Wu, S.-W., Trommershauser, J., Maloney, L. T., & Landy, M. S. (2006). Limits to human movement planning in tasks with asymmetric gain landscapes. Journal of Vision, 6, 53-63.

 

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